2020 Virtual AIChE Annual Meeting

Session: Interactive Session: Data and Information Systems

Chair

Bethany Nicholson, Sandia National Laboratories

Presentations

08:00 AM

(339a) Fast, Efficient & Reliable Chemical Properties Estimation through a New Class of Software Tools
Nichakorn Kuprasertwong, Rafiqul Gani, Arisa Robin, Orakotch Padungwatanaroj, Anjan Kumar Tula, Lei Zhang, Surat Areerat
(339s) A Self-Labeled Deep Learning Method for Semi-Supervised Chemical Process Fault Diagnosis
Jinsong Zhao, Shaodong Zheng
(339e) Systematic Multivariate Analysis (sMVA) Strategy for Improved Process Understanding of Industrial Biorefinery Processes with Applications in Fatty Acid Production
Pieter Nachtergaele, Joris Thybaut, Steven De Meester, Jo Dewulf, David Drijvers, Wouter Saeys
(339m) Modeling the Impact of Environmental Toxicants on the Estrogen Receptor Using Combined Image-Analysis, Big-Data Analytics, and Machine-Learning
Hari S. Ganesh, Burcu Beykal, Adam T. Szafran, Fabio Stossi, Fred A. Wright, Lan Zhou, Michael A. Mancini, Efstratios Pistikopoulos
(339c) Chemical Process Fault Diagnosis Approach Based on Graph Convolutional Network
Deyang Wu, Jinsong Zhao
(339h) Mechanism Discovery and Model Identification Using Genetic Feature Extraction and Statistical Testing
Abhishek Sivaram, Arijit Chakraborty, Lakshminarayanan Samavedham, Venkat Venkatasubramanian
(339i) Development of AI Platform Based on Machine Learning for Separation Process
Hyundo Park, Hyungtae Cho, Junghwan Kim, Hyukwon Kwon, Il Moon
(339j) Optimal Communication Topologies for Particle Swarm Optimization Under Hostile Environments
Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian
(339t) Early Identification of Process Deviation Based on the Statistical Feature of Prediction Residuals
Fangyuan Ma, Dexi Lin, Mingyang Xu, Cheng Ji, Jingde Wang, Wei Sun
(339u) A Data-Driven Process Monitoring and Fault Diagnosis Method for Multi-State Industrial Process Operations
Cheng Ji, Fangyuan Ma, Wei Sun
(339f) Data-Driven Optimization of Integrated Planning and Scheduling Problems Under Demand Uncertainty
Burcu Beykal, Styliani Avraamidou, Efstratios Pistikopoulos
(339n) Machine Learning Models for Water Use Patterns Analysis in Small Rural Agricultural Communities for Informed Design and Deployment of Membrane-Based Water System
Muhammad Bilal, Jin Yong Choi, Anditya Rahardianto, Yang Zhou, Yoram Cohen
(339l) Development of Data Based Prediction Model for Yield and Composition of Distillate from Vdu Process
Yo Sung Yoon, Jay H. Lee
(339p) Fault Detection and Diagnosis in Refinery Operations: A Case Study on Rotating Equipment and Continuous Catalytic Reforming Unit
Cagla Odabasi, Pelin Döloglu, Gizem Kusoglu, Omer Yurttas, Mert Urus, Murat Kulahci, Ahmet Palazoglu
(339q) Supply Chain Monitoring Based on Principal Component Analysis
Jing Wang, Christopher Swartz, Kai Huang